26 to 50 of 138 scikit-learn Jobs

related field; 3+ years of experience in machine learning. Strong programming skills in Python, with experience using data and ML libraries (pandas, scikit-learn, etc.). Proficiency in SQL and data querying from cloud data warehouses. Ensure data quality and integrity in all processes. Experience with building backend ...

science practices tooling governance Essential Skills for the Data Scientist: Strong experience in data science using Python with libraries such as Pandas NumPy scikit-learn or similar Solid grounding in statistics probability machine learning techniques Proven experience working within cloud environments such as AWS Azure or GCP Experience ...

experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression) to real problems, ensuring solutions are robust and meet the intended business outcome ...

experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression) to real problems, ensuring solutions are robust and meet the intended business outcome ...

experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression) to real problems, ensuring solutions are robust and meet the intended business outcome ...

experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression) to real problems, ensuring solutions are robust and meet the intended business outcome ...

with support from more experienced colleagues. Some experience presenting technical findings to non-technical stakeholders. Proficient with the Python data science stack (pandas, scikit-learn, Jupyter, etc.) and version control tools like Git. Any exposure to LLMOps, model monitoring, CI/CD and related technologies (Docker, MLflow, Kubernetes ...

Engineer will have the following skills and experience: Strong Python and SQL experience, ideally with Databricks Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs) Comfortable with data engineering basics and MLOps practices Experience working with cloud platforms such as Azure ...

engineers to productionise models Communicate insights to technical and non-technical stakeholders Mentor junior team members Skillset: Strong Python and ML libraries (scikit-learn, PyTorch, pandas, NumPy) Experience with AWS cloud services (SageMaker, Lambda, S3) Familiarity with MLOps tools (MLflow, Weights & Biases) Knowledge of NLP, computer vision ...

SageMaker, Lambda, Redshift). Proven ability to design and implement machine learning algorithms and models. Proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow). Strong data analysis, statistical modelling, and experimentation skills. Experience with data visualisation tools and techniques. Proficiency in programming languages ...

preferred; AWS/Azure acceptable) Experience with GenAI/LLMs (commercial or serious hands-on experimentation) Strong Python and modern ML tooling (e.g. scikit-learn, XGBoost, TensorFlow or PyTorch) Clear interest in crypto/blockchain (commercial experience a plus, curiosity required) Responsibilities Build, train, and improve ML models ...

experience delivering AI/ML projects end-to-end in production environments Strong Python skills with hands-on use of ML libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms ...

Data Science or Data Engineering. Experience with NLP for entity and relationship extraction is a plus. Strongly skilled in standard ML workflows (Scikit-Learn, XGBoost) Experience with geospatial data (GIS, GeoPandas) is valued. Education MSc in Computer Science, Data Science, or a related engineering field (PhD welcome ...

Fundamentals: You aren't limited to APIs. You have a background in training and evaluating models (TensorFlow/PyTorch/Keras/Scikit-learn) and know when a simple classifier is better than a generative model. Data Fluency: You understand how to build datasets from scratch (bootstrapping, crowdsourcing ...

conversational AI, recommendation systems, optimisation, or marketing analytics. Deep understanding of ML fundamentals across the full lifecycle. Hands‐on experience with ML frameworks (scikit‐learn, XGBoost, PyTorch, TensorFlow, LightGBM). Strong exposure to LLMs, prompt engineering, RAG, and evaluation frameworks. Familiarity with MLOps tooling: CI/CD, experiment ...

engineers to forecast key company KPIs, design real-time dashboards, and develop best-in-class data infrastructure. Key Requirements Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a plus) and SQL skills Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ...

Statistics, Computer Science, Mathematics, or similar Experience delivering predictive analytics or machine learning solutions Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda, Redshift) Ability to clearly communicate insights to non-technical stakeholders Strong ...

Causal inference Intervention analysis Counterfactual estimation Mathematical optimisation Scenario simulation Solid grounding in Bayesian methods and probabilistic programming. Hands-on experience with scikit-learn, PyMC, TensorFlow, PyTorch, Databricks ML, Keras, and ML at scale. Experienced Data Scientist, including leadership experience and demonstrable impact-ideally within a Net Revenue ...

experience in many of the following areas. Expectations scale by level. Hands-on experience building ML models in Python using libraries such as scikit-learn, XGBoost, PyTorch, or TensorFlow. Experience deploying ML workloads on AWS, including services such as SageMaker, Lambda, and S3. Understanding of experiment design, evaluation ...

memory management. Experience with widely used tools in data science and machine learning. Developers should be somewhat familiar with libraries like NumPy, pandas, scikit-learn, and PyTorch. Proficiency in testing approaches and frameworks like pytest as well as automation tools like Github Actions or Travis CI for maintaining ...

development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training ...

abilities needed. Design and deploy scalable ML and Gen AI solutions Very strong Python development skills including working with multiple libraries such as SciKit Learn, NLTK, Deep Learning and other frameworks such as Vanna. Develop cognitive agents using RAG and Agentic AI frameworks Collaborate across teams to solve ...

engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across ...

Ph.D. preferred). Proficiency in programming languages, particularly Python, R, or SQL. Experience with machine learning techniques and frameworks (e.g., TensorFlow, Scikit-learn). Strong analytical skills with a knack for problem-solving and critical thinking. Excellent communication skills, with the ability to explain complex concepts ...

What We’re Looking For Experience as a Data Scientist or ML Engineer, providing business value Strong programming skills in Python (pandas, NumPy, scikit-learn, etc.) Solid understanding of SQL and data manipulation techniques Experience applying machine learning to real-world datasets Exposure to Azure or other cloud ...